Somoclu is a C++ tool for training self-organizing maps on large data sets using a high-performance cluster. It builds on MPI for distributing the workload across the nodes of the cluster. It is also able to boost training by using CUDA if graphics processing units are available. A sparse kernel is included, which is useful for high-dimensional but sparse data, such as the vector spaces common in text mining workflows. The code is released under GNU GPLv3 licence.

Toroid maps were added.
Initial radius is exposed as a parameter via the command line interface.
Formats of codebook and U-matrix export are compatible with Databionic ESOM Tools for advanced visualisation.
Bug fixes: codebook update with a compact support was removed, NaN entry no longer appears in U-matrices.